predict-methods: Predict Method for 'predictor' Class
Description
Assessment of the performance of a predictor in a test data set.
Usage
predict(object="predictor", ...)
Arguments
object
Object of class predictor.
...
Further arguments described below.
Value
A prediction object, see prediction.object for details.
Objects of this class have a method for the function plot.
Methods
- object
- Object of class
predictor. - eset
- Test set, stored in a Bioconductor ExpressionSet object.
- positive
- String refering to one of the two classes. Sensitivity and specificity calculations are carried out with respect to this class.
- class
- Specification of the column in
pData(eset) that contains the class information. The default value is class="class". - ngenes
- Number of features used for classification. The default value is ngenes=50.
- dist
- Character string specifiying the method for calculation of the distance between test samples and the centroids. Possible values are "euclidean", "angle", "center" and the default "cor".
Details
The test samples are classified to the class with the nearest centroid.
For methods are available for calculation of the distance between
test samples and the centroids: Euclidean distance, euclidean distance after centering, angle and Pearson correlation. Calculation of distances is executed using the internal function get.d.See Also
fit
prediction
predictor